Madhavun Candadai

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Madhavun Candadai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. J. Urgen Schmidhuber
  2. Volodymyr Mnih
  3. Richard S. Sutton
  4. Irina Higgins
  5. Geoffrey E. Hinton
  6. David R Ha
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Alex Graves
  10. Max Jaderberg

Papers from Madhavun Candadai's perspective

Ordered by how strongly the researchers Madhavun Candadai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Human-level control through deep reinforcement learning
  7. Long Short-Term Memory
  8. Trust Region Policy Optimization (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers